Non-Local Mean (NLM) SAR Filtering Algorithm
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Resource Overview
MATLAB implementation of Non-Local Mean SAR filtering with comprehensive code documentation
Detailed Documentation
Non-Local Mean (NLM) SAR filtering is a widely used image denoising technique that operates by comparing similarity between pixels and their surrounding neighborhoods. The MATLAB implementation utilizes patch-based comparison algorithms where each pixel's value is replaced by a weighted average of similar pixels across the entire image. Key functions include Gaussian-weighted Euclidean distance calculations for patch similarity assessment and optimal parameter tuning for synthetic aperture radar (SAR) image characteristics. This approach effectively enhances image quality while mitigating noise interference through intelligent pixel correlation analysis across non-local regions.
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